3,713 Matching Annotations
  1. Aug 2022
    1. Peers who trust each other

      !- concept : weaving webs of trust | IndyNet - People who trust each other - can securely co-create - cascading forward feeding identities - anchored in time bound capabilities and root identities - once the network is created the original - globally accessible roots can go away - the network will persist - building up webs of trust - mutual evergreen provenance of - informational, computational artifacts - connecting people and conversations - that are coninuous without being synchronous

    2. Once bootstrapped,

      !- concept : eventual independence - once bootstrapped - securely exchange information - with recapitulate-able full history and provenance - of ideas, people networks and computations, - even for just reading - even after the global name system fails

      !- note - current construction - IndyNet - important to emphasize that we can achieve endurance - because every computational/informational - artifact involved is transitional, has a well defined - time-bound validity and provenance - everything is open to compatible change within - preset periods - transition from one to the next is ensured by construction - we call that forward compatibility - and everything is constructed as the result of uniform - composition of exchahangeable and fully interoperable components where information and computation together is a unit

    1. Money is a technology.

      Recent events—the protests in Canada and the war in Ukraine, and in cyberspace—have shown that our current monetary tech is an instrument for political power, and it has reminded us that politically neutral money is necessary for democratic societies. … 9:54 PM · Mar 8, 2022·Twitter Web App

  2. Jul 2022
    1. creating a "system oriented discipline": Bootstrapping as an evolutionary strategy for developing and improving the tools by using the system as the basis of the Augment Research Center's daily work practice.

      !- concept : system oriented discipline - bootstrapping as an evolutionary strategy - developing and improving tools by using the system - in daily work practice

    2. Doug says that content represents concepts, but there is also a relation between the content of concepts, their structure, and the structure of other domains of human thought that is too complex to investigate in linear text. The computer is a tool for navigating through those structures and examining them in ways that would be too complex otherwise.

      !- claim : content represents concepts - relations between the content of concepts - structure of other domains of human thought - too complex to investigate in linear text

      !- counter claim : content presents concepts for humans to experience and examine in complex ways

      !- tool : computer - for navigating through sturcutres - examine them in ways that would be too complex otherwise

    3. Doug describes the goals of NLS (online system). NLS is an instrument for helping humans operate within the domain of complex information structures. By "operate" Doug means compose, study and modify. By "complex information structures"

      !- goal : NLS - instrument for helping humans operate - within the domain of - "complex information structures"

      !

    1. progressive, i.e. productive, when they enhance the programme's explanatory and/or predictive power, and that they are at least permissible until some better system of theories is devised and the research programme is replaced entirely. The difference between a progressive and a degenerative research programme lies, for Lakatos, in whether the recent changes to its auxiliary hypotheses have achieved this greater explanatory/predictive power or whether they have been made simply out of the necessity of offering some response in the face of new and troublesome evidence.

      !- gloss : progressive research programme

    1. Basic research, also called pure research or fundamental research, is a type of scientific research with the aim of improving scientific theories for better understanding and prediction of natural or other phenomena.

    1. A research program (British English: research programme) is a professional network of scientists conducting basic research.

      !- gloss : research program

    1. Sensemaking involves creating and manipulating a representation from raw data that makes some downstream task easier

      !- the rub : representation

      !- contrast : manipulating representation - vs - morphic presentation - the root cause of our epistemological malaise - the ability to use machines at some point requires the establishment of hierarchies of 'representations' grounded in bit twiddling, its representations all the way up till we arrive at something that can be presented to the individual human being to work with encode intent/information requires some representation encoding

    1. C- Synthesis as a process is usefully modeled as a specialized form of sensemaking

      !- gloss : synthesis - process of specialized form of sense making

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    1. And since they can already create any sort of document in a tool that requires no abstraction, it's just a hard sell.

      !- searched - for : WYSIWYM - abstraction is a hard sell

    1. automate the dronelike parts of programming but also make the programming interface so intuitive that the insurance specialists or accountants or aircraft designers can see their contributions and make improvements by bringing their own expertise to bear, without the programmer as intermediary.

      dronelike parts

      programming interface intuititive

      articulate intent in a form that is human comprehendable co-evolvable and is amenable to the pun of being interpret-able to exhibit intended behavior

    2. “Programming today is the opposite of diamond mining,” he claims. “In diamond mining you dig up a lot of dirt to find a small bit of value. With programming you start with the value, the real intention, and bury it in a bunch of dirt.”

      !- quotable quote : - programming opposite of diamond mining

    3. who is hoping to enrich the Uniform Modeling Language by building in a broader version of Kiczales’s “aspects,” so that, for example, functions like security and authentication would automatically weave themselves through entire software systems.

      aspects

      security and authentication would automatically

      weave themselves through entire software systems

    4. Everyone’s a ProgrammerSoftware is collapsing under the weight of its own complexity. Charles Simonyi’s solution? Programming tools that are so simple that even laypeople can use them.

      !- meme : programing diamond mining simonyi

    1. 🧵 Thread Emoji Meaning A spool of thread, as used for sewing. Thread color varies across platforms, though often depicted in red or blue and on a wooden spool. Sometimes shown with an end unraveling. Commonly used for various content concerning sewing, knitting, arts and crafts, clothing and fashion, and metaphorical threads (e.g., a discussion thread online).

      !- for : trailmark - thread

    1. emojidex Emoji images from emojidex are part of an "emoji as a service" platform, which can be used on any web site or app that includes the emojidex libraries. Emojipedia displays all original emojidex images for Unicode emoji characters. User-submitted emoji images which are outside of the standard emoji set can be found on the emojidex website.
      • for : find - emojis
  3. emojipedia.org emojipedia.org
    1. 🏁 Chequered Flag Emoji Meaning A flag with black and white squares shown in a checkerboard pattern, used to signal the start or end of a motor car…
      • for : start - page
    1. it's too bad that the system cannot come up automatically with a meaningful name so we have to supply that writing a new enzyme is not very hard using ip's
      • for : fundamental question - What's in a Name? too bad that it

      cannot come up with a name

    2. can extract a procedure from open code we start by selecting a piece of code that we think might be shareable we apply the enzyme and we get a procedure and a call to it with all the necessary

      parameters formal and actual

      extract a procedure

    3. given that the program is a database it's easy to create tools that operate on programs because we like biological metaphors we call these tools enzymes there is an IP a very useful enzyme that

      program is a database

      tools that operate on programs

      enzymes

    1. Our proposition is grounded in a detailed analysis of themanner in which the socio-econo-political system has evolved into a powerful control mechanismthat subsumes human minds, steers their will and automates their thinking.
      • grounded :proposition
      • in analysis of the manner
      • in which the socio-econo-political system has evolved into a powerful control mechanism subsuming human minds
      • steer their will
      • automates their thinking

      Brave New World allright

    2. serving to augment the autonomy of the first from the‘programming’ imposed by the second.

      !- aspiration : emerging synthetic intelligence - serving to augment the autonomy of the human mind limiting? the "programming" imposed by the second

      • quibble : would not the synthetic intelligence "program" autonomously the human mind?
    3. hree kinds of cognitive system—the human mind, social systemsand the emerging synthetic intelligence

      !- kinds : cognitive systems - human mind - social systems - emerging synthetic intelligence

    4. mediate theexecution of contracts, transactions, public interventions and all other change-establishing eventsmore reliably and more synergistically than any other technology or institution

      mediate execution of - contracts - transactions - public interventions - change-establishing events

    1. revising a larger vision we have this building block for a new infrastructure beyond itunes for papers and 00:43:30 yeah we start by just facilitating collaboration systems and then you can scale up by prioritizing decentralization and federation and we can publish to say databases like ceramic or the graph or so on and people 00:43:43 can subscribe to graph queries you can start there as opposed to every publishing into a single stream immediately to have people talk to each other i like this metaphor uh the way that we're working as opposed to starting from the top and saying
      • Indy/Web
      • TrailMarks
      • |Mind/Drive/Graph/Trails

      digital pensieve

      inteerpersonal collaborationcommunities

    2. some point we need some way to 00:43:05 understand which pieces of evidence are the same or similar which pieces of claims are similar or not

      ssme as

    3. middle layer between the sort of more structured knowledge graph that's more granular and the more coarse documents this kind of middle layer the 00:42:52 disco stuff could enable sort of communication across the systems

      middle layer between more structure knowledge graph

      propositional trails and prose narrstivge trails

    4. translating between 00:42:03 user extendable grammars but also having a similar underlying idea seems like one promising way to enable this peer-to-peer thing to start people might be concerned about formality machine readability

      extensible grammars

      !- claim :can do lot more

    5. we have a proven concept it's possible to write close to probes and create shareable discourse graphs as 00:41:12 a byproduct uh i think this opens up new pops the sustainable scalable authoring

      !- proven concept : -possible to write close to prose - and create create - shareable rewumable

      better then prose augmented prose = discourse graphs

      hypermaps of meaning

      opens up new paths to

      sustainable scholar-powered authoring

      augmented authoring

      synthesis-friendly infrastructure

    6. enables you to sort of translate between those 00:41:00 this is a bigger promising design pattern
      • design pattern : enables you to translate between those
    7. extending or personalizing grammar is crucial right many extensions were finer distinctions right we have different flavors of claims or different 00:40:34 flavors of evidence but you can also be collapsed together if you wanted to sort of translate to a different graph and this connects to this kind of concept of boundary objects from information science

      extending and personalizing grammar

    8. using it to find and access important ideas like later on they can use the more advanced features but uh just simply having the discourse graph as a way to structure right that model 00:40:22 is a way to structure it thinking

      using to find and access important ideas

      discourse graph to structure

    9. fostering more careful and career thinking patterns was most of the time enough for people to adopt this they wanted to think in this way and the tool helps them to think in this way and 00:40:11 that's that's good

      fostering more careful thinking patterns

      was wnough

    10. the way that the system knows how to translate the writing patterns into edges is through a grammar that is user customizable that essentially says 00:35:14 when i write something like this which is on the left i want you to save it and recognize it that this is a particular relationship right

      user customizable grammar

      recognize it as a particular type of relationship

      upon which arbitratry interpretation can be triggereed affecting a shape of a neighbourhood as the individual deems to be fit or matching some plugout

    11. if you force people to only think in terms of structured nodes 00:32:55 and edges for example it sort of kills the thinking process
      • for : why - is the Semantic Web broken?
      • for : why - we need composite nodes for units of expression?

      • force people to think in terms of structured nodes and edges

      • Triples tessellate to concept/content in context space in a way that introduces premature structures that are rigid in themselves
    12. integrate that into the the document itself
      • use : TrailMarks
      • as thought vectors for concept spaces
      • Mark In notation for mutual learning (symmathesy) synthesis

      scaling interpersonal synthesys

      https://indylab-2022.fission.app/hyp?thought%20vectors

      Description

      !- claim : Trailmarks are but thought vectors in concept space

    13. you're looking for papers but really what you care about is what's in them the ideas the claims the arguments the theories the findings and the discourse relations between the 00:05:08 right support opposition replication lines of evidence lines of contradiction right these kinds of things

      !- care about : - ideas - claims - arguments - theories - findings - support - opposition - replication - lines of - evidence - contradiction

      !-,missed out : concepts. mutual learning Symmathesy

      !- concept : discourse relationships

      • comment : "Thought Vectors in Concept Spaces" *plural is mine"

      plurality of minds

    14. these indexing systems work with what they have the data 00:05:59 structure is what's at issue similarly um we have entire industry of system review tools and processes that are essentially dedicated to working against the underlying data structure they are sort of like we've got these 00:06:12 papers and we need to work our way around it so we have all these processes for screening for data extraction to get to the thing we actually care about and then we don't share anybody else and everybody has to start from scratch next time

      instead of scaling synthesys wasting human effort at scale

    15. core conjecture of this line of work is that it's not just about the tools it's not just about our motivation it's about the infrastructure it's about the unit of analysis right why why does google scholar work
      • core conjecture : wrong "unit of analysis"
    16. accelerating scientific discovery by lowering barriers to 00:00:42 user-generated synthesis of scientific literature which will include discussing how scholarly practices could be transformed

      individual-generated synthesis

      discourse-graph = creates context of justification

      !- for : value prop - MindGraph - indyvidual-generated learning paths creating contexts for discovery - using TrailMarks as thought vectors in concept space - represented as MindGraph - !- for : - better, faster comprehension - ingesting, digesting, relating - piecemeal collation curation of associative memory - incorporating trailmarks for discouse graph

      !- for : value prop : Trail\Marks & Hypothesis - write to think, weaving articulate associative complexes on the margin

    17. f feeding its slave to the trap data you have this sense that um of fighting against uh the infrastructure

      feeding its slave to the trap data

      fighting against the infrastructure

      "If one is to stand on the shoulders of giants, one must first climb up their backs"

      "the greater the body of knowledge, the harder this climb becomes"

      Ben Jones 2009

      "Enslaved to the Trapped Data"

    18. risk wasting our time on questions that are trivial impossible misframed one of my favorite phrases is you can't play 20 questions with nature and win

      !- exhortation : - ignore synthesis at our (collective) peril

      • wasting time on question that are
      • tivial : we already knew the answer
      • impossible: here be dragons
      • missframed

      !- phrase : can't play 20 questions with nature and win

    19. a recent nobel prize winner who credited some of her key inspirations to a masterful survey of the literature in a handbook chapter of economic developmental economics and 00:02:11 it really laid out some key problems in the field that she was able to sort of connect with her expertise and experimental methods

      !- about : finding the right question

    20. giving insight into here are some of the gaps here are where we should be going next um driving progress forward

      !- for : literature review - giving insights - gaps - directions - driving progress forward

    21. key intuition is that you create a new innovative conceptual whole that's greater than the sum of the parts of things that you're integrating

      !- key intuition : synthesis - remove barriers to effective synthesis - ask better questions, faster

      !- examples : synthesis - theory - model - design spaces - lit/systems - lit/system review

    22. so what i mean by synthesis it's probably an intuitive concept but some examples include theories models design spaces and very good systematic or literature reviews

      !- concept : synthesis

    1. it’s a challenge to get users to input metadata in a consistent way

      invite them to reflect in the structure what they wite down their intent/salience/focus of attention

      let them say what they mean and mean what they say

    1. physical systems can be completely deterministic and yet still be inherently unpredictable

      !- claim : inherent unpredictability of some completely deterministic physical systems

    1. As a graduate student in Chihiro Hayashi's laboratory at Kyoto University, Yoshisuke Ueda was experimenting with analog computers and noticed, on November 27, 1961, what he called "randomly transitional phenomena". Yet his advisor did not agree with his conclusions at the time, and did not allow him to report his findings until 1970

      randomly transitional phenomena

    1. scientific progress may not even be tractable without adequatesynthesis (as theory), even with advanced methods and data
      • scientific progress
      • not tractable without
      • adequate synthesis
    2. especially necessary for problems where it is difficult orimpossible to construct decisive experimental tests

      impossible to construct experimental tests

    3. Synthesis maybe supported by and manifested in a variety of forms, such as a theory, an effective systematic or inte-grative literature review, a causal model, a cogent research proposal or problem formulation, or model ofa design space, among others.

      !- manifested, supported : synthesis - theory - effective systematic/integrative literature review - causal model - cogent research proposal - problem formulation

    4. Effective synthesis generates new knowledge, integrating relevant theories, concepts, claims, andevidence into novel conceptual wholes [Strike and Posner, 1983, Blake and Pratt, 2006].

      !- concept : effective synthesis

    5. To advance science, scientists must synthesize what is currently known and unknown

      synthesize known and unknown

      !- rhymes with : Engelbart @ Google - "Who is doing the job of organizing the Web's Frontier" - the edge of knowl'edge